上市银行高管人员绩效评价模型及实证分析

Model for Performance Evaluation on Top Managers of Listed Banks and Its Empirical Analysis

针对传统银行高管绩效评价方法的局限性,本文提出将主成分分析(PCA)和支持向量机(SVM)相结合的上市银行高管绩效评价模型。在借鉴上市银行高管绩效评价指标体系的基础上,对原始指标数据进行标准化处理,然后运用主成分分析消除指标之间的冗余和相关,最后借助MATLAB6.5软件并运用支持向量机对我国8家上市银行高管绩效进行评价。实证结果表明,PCA-SVM评价模型是评价我国银行业高管绩效的有效工具。

According to the limitations of traditional performance evaluation method for top managers in bank industry, this paper establishes the performance evaluation model for top managers of banks with combination of principal component analysis（PCA）and support vector machine （SVM）. Based on the application of performance evaluation index system for top managers of listed banks,it standardizes initial data and then eliminates the redundancy and relativity among the indexes through PCA. Finally,it evaluates the top manager performance of China＇s eight listed banks by means of SVM in the environment of MATLAB6.5 software. The results show that this model is an effective method for performance evaluation on top managers in bank industry.